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VL-Meta: Vision-Language Models for Multimodal Meta-Learning

https://doi.org/10.3390/math12020286
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4615-5529-2openalex-snapshot
Learning to Learn
inferredcites →https://doi.org/10.1007/978-3-030-05318-5_2openalex-snapshot
Meta-Learning
inferredcites →https://doi.org/10.1007/978-3-030-58577-8_8openalex-snapshot
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/s10462-021-10004-4openalex-snapshot
A survey of deep meta-learning
inferredcites →https://doi.org/10.1007/s10462-021-10004-4#rightslinkopenalex-snapshot
A survey of deep meta-learning
inferredcites →https://doi.org/10.1007/s11263-016-0981-7openalex-snapshot
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
inferredcites →https://doi.org/10.1016/j.cobeha.2021.01.002openalex-snapshot
Meta-learning in natural and artificial intelligence
inferredcites →https://doi.org/10.1109/cvpr.2016.12openalex-snapshot
Neural Module Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.215openalex-snapshot
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01028openalex-snapshot
In Defense of Grid Features for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01838openalex-snapshot
Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks
inferredcites →https://doi.org/10.1109/iccv.2015.279openalex-snapshot
VQA: Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.2015.283openalex-snapshot
Visual Madlibs: Fill in the Blank Description Generation and Question Answering
inferredcites →https://doi.org/10.1145/3510374.3510379openalex-snapshot
MetaLearning with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3572833openalex-snapshot
Achieving Human Parity on Visual Question Answering
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018076openalex-snapshot
TallyQA: Answering Complex Counting Questions
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018876openalex-snapshot
KVQA: Knowledge-Aware Visual Question Answering
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018997openalex-snapshot
Differential Networks for Visual Question Answering
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.488openalex-snapshot
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.49openalex-snapshot
Meta Learning for Natural Language Processing: A Survey
inferredcites →https://doi.org/10.18653/v1/2023.mrl-1.2openalex-snapshot
Meta-learning For Vision-and-language Cross-lingual Transfer
inferredcites →https://doi.org/10.18653/v1/d16-1044openalex-snapshot
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.3390/math10030288openalex-snapshot
Modeling of Hyperparameter Tuned Deep Learning Model for Automated Image Captioning
inferredcites →https://doi.org/10.3390/math11102279openalex-snapshot
An End-to-End Framework Based on Vision-Language Fusion for Remote Sensing Cross-Modal Text-Image Retrieval
inferredcites →https://doi.org/10.3390/math11102335openalex-snapshot
Multimodal Interaction and Fused Graph Convolution Network for Sentiment Classification of Online Reviews
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.giscience.2023.43openalex-snapshot
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1505.02074openalex-snapshot
Exploring Models and Data for Image Question Answering
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2102.03334openalex-snapshot
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
inferredcites →https://doi.org/10.48550/arxiv.2103.00020openalex-snapshot
Learning Transferable Visual Models From Natural Language Supervision
inferredcites →https://doi.org/10.48550/arxiv.2107.07651openalex-snapshot
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
inferredcites →https://doi.org/10.52202/068431-2384openalex-snapshot
VLMo: Unified Vision-Language Pre-Training with Mixture-Of-Modality-Experts

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/widm.70036openalex-snapshot
A Survey on Efficient Vision‐Language Models
inferred← citeshttps://doi.org/10.1007/978-981-95-7896-2_32openalex-snapshot
Toward Sustainable AI in Agriculture: An Efficient VQA Pipeline for Rice Leaf Disease Analysis
inferred← citeshttps://doi.org/10.1016/j.icte.2026.07.023openalex-snapshot
From text to multimodality: A comprehensive survey of LLMs and MLLMs across diverse domains
inferred← citeshttps://doi.org/10.1097/icu.0000000000001089openalex-snapshot
Vision language models in ophthalmology
inferred← citeshttps://doi.org/10.1097/icu.0000000000001097openalex-snapshot
A look at the emerging trends of large language models in ophthalmology
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00045openalex-snapshot
Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction
inferred← citeshttps://doi.org/10.1142/s0129183125420033openalex-snapshot
An automatic image description generation technology and application for visually impaired individuals
inferred← citeshttps://doi.org/10.3390/app14031169openalex-snapshot
VL-Few: Vision Language Alignment for Multimodal Few-Shot Meta Learning
inferred← citeshttps://doi.org/10.3390/buildings15132364openalex-snapshot
Predictive Models for Environmental Perception in Multi-Type Parks and Their Generalization Ability: Integrating Pre-Training and Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/jtaer20030191openalex-snapshot
Transforming Product Discovery and Interpretation Using Vision–Language Models
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